Pilot Study of PCA3 Quantitative Analysis in Peripheral Blood with Real Time PCR and Non-Contrast Multiparametrics MRI for Prostate Cancer Detection

Authors

  • Tjondro Setiawan Radiology Department, Gading Pluit Hospital-Jakarta
  • Bachtiar Murtala Radiology Department, Hasanuddin University-Makassar
  • Andi Fachruddin Benyamin Internal Medicine Department, Hasanuddin University-Makassar
  • Mochammad Hatta Microbiology Department, Hasanuddin University-Makassar
  • Ali Suyono Purwita Urology Department, Pluit Hospital-Jakarta
  • Taufan Tenggara Urology Department, Gading Pluit Hospital-Jakarta
  • Egi Edward Manuputty Urology Department, Gading Pluit Hospital-Jakarta
  • Gatot Susilo Lawrens Pathology Anatomy Department, Hasanuddin University-Makassar

Keywords:

PCA3, PCR, quantitative test, non contrast mp, MRI, prostate cancer.

Abstract

Prostate cancer is one of major health concerns worldwide. Early detection for prostate cancer is very important since effective treatment is very limited for advanced prostate cancer. Molecular alteration happen prior to any morphological change, and Prostate Cancer Antigen 3 (PCA3) as the most specific marker for prostate cancer had been studied and proved its usefulness in detecting prostate cancer.

However, the PCA3 level in peripheral blood remains unclear and only few research focused in the topic. Multiparametric Magnetic Resonance Imaging (mp-MRI) has superiorities in viewing prostate gland, without radiation exposure, also can be used without contrast injection. Early detection should avoid unnecessary medical examinations or interventions that will add up patients

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Published

2017-04-25

How to Cite

Setiawan, T., Murtala, B., Benyamin, A. F., Hatta, M., Purwita, A. S., Tenggara, T., Manuputty, E. E., & Lawrens, G. S. (2017). Pilot Study of PCA3 Quantitative Analysis in Peripheral Blood with Real Time PCR and Non-Contrast Multiparametrics MRI for Prostate Cancer Detection. International Journal of Sciences: Basic and Applied Research (IJSBAR), 32(3), 365–373. Retrieved from https://www.gssrr.org/index.php/JournalOfBasicAndApplied/article/view/7273

Issue

Vol. 32 No. 3 (2017)

Section

Articles

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